AI Strategy
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
-
AI Product Owner in 2026: The High-Impact Role Every Team Needs to Win With AI
The AI Product Owner is the keystone role that converts AI strategy into measurable outcomes. I explain how it differs from traditional Product Management, the core…
-
25 High-Impact Career Paths for Software Engineers Beyond Coding: My Real-World Playbook
This first-person playbook shows how engineers can pivot into high-impact roles that go beyond coding while compounding their core strengths. I explain which skills transfer cleanly…
-
Mastering Data Governance in the AI Era: Move Fast, Reduce Risk, and Unlock Trusted Insights
AI is changing the rules of data governance, and the winners will combine speed with trust. In this piece, I share a practical blueprint for building…
-
How I Use ChatGPT to Supercharge Product Management: Workflows, Prompts, and PM Playbooks
ChatGPT has become a practical force multiplier in my product workflows, from discovery and strategy to delivery and growth. I use it to synthesize interviews, clarify…
-
How We Built an AI Sleep Coach: CBTI, Voice AI, and a Product Playbook for Better Rest
I break down how Rest turned CBTI into a voice-first AI sleep coach that feels personal, safe, and effective. The team discovered a high-intent niche in…
-
High-Quality Data, High-Velocity AI: My Product Playbook for Governance, Trust, and Scale
High-quality data is the fastest path to real AI impact. I outline how data contracts, privacy-by-design, and a unified analytics platform create the foundation for trustworthy,…
-
PendomoniumX London: An Operating Model for AI Products
A practical operating model for turning AI pilots into trusted product workflows that customers discover, adopt, repeat, and teams can govern.
-
Brand Visibility in AI Answer Engines: A Product Playbook
A practical product-led system for earning accurate brand mentions, grounded citations, and completed actions across AI answer engines.
-
How I Use ChatGPT to Supercharge PM: Smart Workflows, Killer Prompts, and Real-World Wins
ChatGPT has become a quiet force multiplier in my product leadership—accelerating discovery, clarifying roadmaps, and sharpening stakeholder communication. I use it to draft PRDs, structure A/B…
-
Taming 1,000+ Vendor Emails: How Xelix’s AI Helpdesk Delivers Fast, Confident Answers
Vendor communication is noisy, costly, and ripe for AI—if you build it right. I break down how an AI Helpdesk can transform 1,000+ daily vendor emails…
-
AI Won’t Replace Engineers—Engineers Using AI Will: A Practical Playbook for Your Next Move
AI is automating tasks, not eliminating software engineers. The real opportunity is to shift from rote implementation to systems thinking, product discovery, and responsible AI Strategy.…
-
From Sketch to Clickable Demo: My AI Prototyping Playbook to Build Apps in Hours
I share a practical playbook for turning napkin sketches into clickable AI prototypes in hours. You’ll see how I frame outcomes and MDEs, generate UI quickly,…
-
Win AI Search: Proven Playbook to Get Your Startup Recommended by ChatGPT & Perplexity
AI search is becoming the new homepage for startups, and the brands that win are the ones models can clearly identify, verify, and cite. In this…
-
Prototypes vs Products: How I De-risk Ideas Fast and Ship Reliable Value at Scale
Too many teams confuse prototypes with products—and pay for it later. I use prototypes to learn fast and reduce risk, and I treat products as promises…
-
Turn Claude Code Into a Trusted Teammate: My 3-Layer Memory System You Can Copy
I used to waste hours repeating the same context to AI and getting generic, off-the-mark feedback. By giving Claude Code a persistent, file-based memory, I now…
-
AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
-
How to Build an Evaluation-Driven AI Innovation Strategy
Build an AI innovation system that links portfolio bets to customer outcomes, release gates, and clear evidence for killing, refining, or scaling them.
-
From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
-
What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
-
Why We’re Building Our Next AI R&D Hub in Berlin—and Hiring 100 to Power Fin’s Growth
We’re opening our next AI R&D hub in Berlin to accelerate Intercom and our AI Agent, Fin, and we plan to hire 100 people across engineering,…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.